Naval Automation and Information Management Technology

Abstract

Military uses of unmanned systems are growing. The use of unmanned systems, particularly UAVs, in the campaign in Afghanistan and in Iraqi Freedom operations demonstrated beyond any doubt the effectiveness and viability of unmanned systems in !SR as well as weapons delivery missions. As a result, in future military scenarios, large numbers of unmanned ground, air, underwater, and surface vehicles will work together, coordinated by an ever smaller number of human operators. In order to be operationally efficient, effective and useful, these robots must have competent physical and sensing abilities, must be able to perform complex tasks semi-autonomously, must be able to coordinate with each other, and must ultimately be observable and controllable in a useful and intuitive fashion by human operators. Under the Naval Automation and Information Management Technology Program (NAlMT), The Institute for Human and Machine Cognition (IHMC) of the University of West Florida has conducted advanced research on unmanned systems in the areas of (1) unmanned underwater vehicle mobility, (2) human-agent teamwork and agile computing and (3) mixed initiative human control. Progress made in FYO3 in each of these three areas is described below.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA432433

Entities

People

  • James F. Allen
  • Jeffrey Bradshaw
  • Jerry Pratt
  • Lucian Galescu
  • Niranjan Suri
  • Peter Neuhaus

Organizations

  • University of West Florida

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Autonomous Systems
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computational Fluid Dynamics
  • Computer Science
  • Computers
  • Control Systems
  • Dialogue Systems
  • Fluid Dynamics
  • Language
  • Ontologies
  • Underwater Vehicles
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs